Anirban Acharya’s research sits at the intersection of data science, mass spectrometry, and chemical systems, with a focus on uncovering patterns in complex molecular datasets. His work leverages machine learning and advanced analytical techniques to interpret high-dimensional mass spectrometric data, particularly from geochemically relevant systems such as ultramafic rock interactions. This approach contributes to prebiotic chemistry by enabling the identification and characterization of abiotic organic synthesis and trends in abiotic mess.